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Artificial Intelligence For Business How Your Company Can Make More Profit with Machine Learning, Data Science, Big Data, and Deep Learning - Konnor Cluster 2019 EPUB | RTF | PDF CONV Amazon Digital Services LLC BOOKS PROGRAMMING
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Artificial Intelligence For Business How Your Company Can Make More Profit with Machine Learning, Data Science, Big Data, and Deep Learning
Author: Konnor Cluster
Year: 2019
Format: EPUB | RTF | PDF CONV
File size: 10.1 MB
Language: ENG



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The book "Artificial Intelligence for Business" provides a comprehensive overview of artificial intelligence (AI) and its applications in business, highlighting the potential benefits and challenges of implementing AI solutions in various industries. The author, a leading expert in the field, offers practical advice on how companies can leverage AI to improve their operations, increase efficiency, and drive profitability. The book begins by exploring the concept of AI and its evolution, from the early days of rule-based systems to the current era of deep learning and neural networks. The author discusses the key technologies driving AI innovation, including machine learning, data science, big data, and cloud computing, and how these technologies are transforming businesses across sectors. The book then delves into the application of AI in various industries, such as healthcare, finance, retail, and manufacturing, showcasing real-world examples of successful AI implementation and the lessons learned from these implementations. The author also discusses the ethical considerations surrounding AI use, such as privacy concerns, bias, and job displacement, and provides guidance on how to address these issues responsibly.
В книге «Искусственный интеллект для бизнеса» представлен всесторонний обзор искусственного интеллекта (ИИ) и его приложений в бизнесе, освещаются потенциальные преимущества и проблемы внедрения решений ИИ в различных отраслях. Автор, ведущий эксперт в этой области, предлагает практические советы о том, как компании могут использовать ИИ для улучшения своей деятельности, повышения эффективности и повышения прибыльности. Книга начинается с изучения концепции ИИ и его эволюции, начиная с ранних дней систем, основанных на правилах, и заканчивая нынешней эпохой глубокого обучения и нейронных сетей. Автор обсуждает ключевые технологии, стимулирующие инновации в области ИИ, включая машинное обучение, науку о данных, большие данные и облачные вычисления, а также то, как эти технологии трансформируют бизнес в разных секторах. Затем книга углубляется в применение ИИ в различных отраслях, таких как здравоохранение, финансы, розничная торговля и производство, демонстрируя реальные примеры успешного внедрения ИИ и уроки, извлеченные из этих внедрений. Автор также обсуждает этические соображения, связанные с использованием ИИ, такие как проблемы конфиденциальности, предвзятость и смещение работы, и предоставляет руководство о том, как ответственно решать эти проблемы.
libro «Inteligencia Artificial para el Negocio» presenta una visión general completa de la inteligencia artificial (IA) y sus aplicaciones en el negocio, destaca los potenciales beneficios y desafíos de implementar soluciones de IA en diferentes industrias. autor, un destacado experto en este campo, ofrece consejos prácticos sobre cómo las empresas pueden utilizar la IA para mejorar sus operaciones, aumentar la eficiencia y aumentar la rentabilidad. libro comienza estudiando el concepto de IA y su evolución, desde los primeros días de los sistemas basados en reglas hasta la era actual del aprendizaje profundo y las redes neuronales. autor analiza las tecnologías clave que impulsan la innovación en IA, incluyendo el aprendizaje automático, la ciencia de datos, el big data y la computación en la nube, y cómo estas tecnologías transforman el negocio en diferentes sectores. A continuación, el libro profundiza en la aplicación de la IA en diversas industrias, como la salud, las finanzas, el comercio minorista y la producción, mostrando ejemplos reales de implementación exitosa de la IA y las lecciones aprendidas de estas implementaciones. autor también discute consideraciones éticas relacionadas con el uso de la IA, como problemas de privacidad, sesgo y desplazamiento del trabajo, y proporciona orientación sobre cómo abordar estos problemas de manera responsable.
Il libro «Intelligenza artificiale per le aziende» fornisce una panoramica completa dell'intelligenza artificiale (IA) e delle sue applicazioni aziendali, evidenzia i potenziali vantaggi e i problemi di implementazione delle soluzioni di IA in diversi settori. L'autore, esperto leader in questo campo, offre consigli pratici su come le aziende possono utilizzare l'IA per migliorare le loro attività, migliorare l'efficienza e aumentare la redditività. Il libro inizia con l'esplorazione del concetto di intelligenza artificiale e della sua evoluzione, dai primi giorni dei sistemi basati sulle regole all'attuale era dell'apprendimento profondo e delle reti neurali. L'autore affronta le principali tecnologie che stimolano l'innovazione dell'intelligenza artificiale, tra cui l'apprendimento automatico, la scienza dei dati, i big data e il cloud computing, e il modo in cui queste tecnologie trasformano le imprese in diversi settori. Il libro viene poi approfondito nell'applicazione dell'IA in diversi settori quali salute, finanza, commercio al dettaglio e produzione, illustrando i veri esempi di successo dell'implementazione dell'IA e le lezioni derivanti da queste implementazioni. L'autore discute anche di considerazioni etiche relative all'uso dell'IA, quali problemi di privacy, pregiudizi e spostamenti di lavoro, e fornisce una guida su come affrontare questi problemi in modo responsabile.
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本「ビジネスのための人工知能」は、AI(人工知能)とビジネスにおけるそのアプリケーションの包括的な概要を提供し、業界全体でAIソリューションを実装することの潜在的な利点と課題を強調しています。この分野の有力な専門家である著者は、企業がAIを使用して業務を改善し、効率を高め、収益性を高める方法について実践的なアドバイスを提供しています。AIの概念とその進化を、ルールベースのシステムの初期から現在のディープラーニングとニューラルネットワークの時代まで探求することから始まる。機械学習、データサイエンス、ビッグデータ、クラウドコンピューティングなど、AIのイノベーションを推進する主要な技術と、これらの技術がどのようにして業界を超えてビジネスを変革しているのかについて説明します。この本は、ヘルスケア、金融、小売、製造などの業界全体でAIの応用を掘り下げ、成功したAIの採用の実例とその実装から学んだ教訓を示しています。また、プライバシーに関する懸念、バイアス、ジョブ・バイアスなど、AIの利用に関する倫理的な考慮事項についても解説し、これらの問題に責任を持って対処する方法についてのガイダンスを提供しています。

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